A Development of Edge Computing Method in Integration with IOT System for Optimizing and To Produce Energy Efficiency System
Renas Rajab Asaad, Ahmed Alaa Hani, Amira Bibo Sallow, Saman M. Almufti, Hawar Bahzad Ahmad, Subhi R. M. Zeebaree · 2024
The number of the Internet of Things (IoT) devices is growing, leading to increased generation of data at a level that has never been witnessed from the network edge. These pervading are through different industries: in the likes of healthcare, transportation, manufacturing, and smart cities, explicit needs call for effective data processing and analysis at the edge. This paper discusses the idea of edge computing in an IoT context, focusing on how this can best be optimized in terms of minimizing the two aforementioned areas to improve overall system performance. The traditional approach to data processing in IoT systems, which is cloud-centric,json, often experiences latency problems because data has to travel over distances to servers that are centralized for analysis. More so, the continuous transmission of voluminous raw data into the cloud is very consuming of the energy and weighs down the network bandwidth. That is where the edge computing comes into place, filling this gap through the relocation of computational tasks near the source, thereby reducing latency that translates to relieving the network from congestion. This paper tries to reflect key principles and benefits of edge computing in an IoT environment based on a comprehensive review of existing literature and relevant case studies. Near IoT devices, edge nodes enable computational capabilities.